Careers
Machine Learning Engineer – Biosignal Processing
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Ulm
work
Full-Time
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Biosignal Processing
task_alt Responsibilities
- Develop algorithms for processing physiological signals
- Build and optimize machine learning models for pattern detection
- Work on real-time data analysis and decision support systems
- Collaborate with hardware and software teams
Hard Skills:
- Background in machine learning, data science or a related field (or strong interest)
- Experience with Python and ML frameworks (e.g. PyTorch, TensorFlow)
- Experience with time-series data and signal processing
- Experience with biomedical data is beneficial
Soft Skills:
- Analytical thinking and structured problem solving
- Ability to work independently in a startup environment
- Strong ownership and execution focus
Technical Arsenal
algorithms
Biosignal Processing
Data Visualization
Deep Learning
ECG
EEG
EMG
Machine Learning
Model Deployment
NumPy
physiological signals
PPG
Python
PyTorch
TensorFlow
Time-Series Analysis
Mindset
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Patient-impact focused
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Data-driven decision making
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Scientific curiosity
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Continuous learning mentality
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Quality and accuracy mindset
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Innovation through experimentation
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Ownership and accountability
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Collaborative problem solving
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Ethical AI awareness
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Resilient under challenges
